Distributed Systems Engineer (Python/C++)

Location: Full-time, on-site in Burnaby, Greater Vancouver Area, Canada; in-office attendance is required.

Salary: CAD 89,600–166,400 annually, plus potential bonus, equity, and benefits.

Company

hirify.global develops technology for electronic design automation, circuit analysis, and semiconductor design.

What you will do

• Build ingestion pipelines and high-performance I/O for large-scale netlists, simulation data, and multi-TB circuit databases.
• Develop serialization, deserialization, and streaming interfaces connecting Python components with high-performance C++ solvers.
• Implement fault-tolerant task scheduling, resource management, load balancing, and dependency management across compute clusters.
• Build monitoring and observability for long-running distributed simulation workflows.
• Develop scalable visualization and interactive exploration for multi-dimensional, TB-scale simulation results.

Requirements

• 3+ years of experience building distributed systems with Python.
• Experience with Dask, Spark, Ray, Celery, or similar distributed computing frameworks.
• Understanding of distributed computing patterns, data locality, fault tolerance, data partitioning, and streaming.
• Experience with HDF5, Parquet, Arrow, or similar high-performance columnar data formats.
• Strong Python and C++ programming skills, including production code, testing, and code review.
• Familiarity with Python/C++ interoperability technologies such as pybind11 or nanobind.

Nice to have

• Background in EDA, VLSI, semiconductor design, or computational engineering.
• Experience with scientific or engineering data visualization, HPC job schedulers, GPU acceleration, or cloud platforms.
• Familiarity with Go, Plotly, Bokeh, Holoviews, or Datashader.
• Open-source distributed computing contributions.

Culture & Benefits

• Work on greenfield distributed infrastructure with modern tools and well-defined solver interfaces.
• Collaborate with experienced systems engineers and domain experts in circuit simulation and numerical methods.
• Develop expertise in production distributed systems, large-scale data pipelines, performance engineering, and reliable infrastructure.
• Potential incentive compensation through bonus, equity, and benefits.